Simulation and experimental study on frictional wear of plough blades in soil cultivation process based on the Archard model

IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Biosystems Engineering Pub Date : 2024-11-01 DOI:10.1016/j.biosystemseng.2024.10.009
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Abstract

Plough blades are widely used for land preparation tasks such as rotary tillage and trenching in small farmlands. This paper, using the finite element method, establishes a dynamic simulation model for plough blade cutting through soil. Utilising simulation and experimental data, the study inversely determined a constant value of K = 1.71 × 10−5 for the wear formula and developed an Archard wear mathematical model applicable to predicting plough blade wear during soil cutting. Subsequently, a Python script was developed for extracting data during the plough blade cutting process. The UMESHMOTION subroutine, combined with the ALE grid remeshing method, was then employed to simulate the wear morphology of the plough blade tip. A comprehensive numerical analysis of wear is conducted over time intervals of 2 h, 3.5 h, 5 h, and 6 h. The results indicated that the maximum wear occurred at the junction between the rear blade surface and the plough blade tip, with corresponding maximum wear amounts of 1.887 mm, 2.750 mm, 3.766 mm, and 4.359 mm. Comparison with actual wear conditions during the operation of a micro-tiller suggests that, within the same wear stage of the blade, the proposed wear numerical analysis method effectively simulated the wear amount during plough blade soil cutting. Furthermore, a comparison of wear amounts under different operational parameters showed that an increase in forward speed led to wear amount increments of 26.62 % and 35.23 %, while an increase in rotational speed resulted in wear amount increments of 17.77 % and 43.88 %. Both factors significantly impact plough blade wear.
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基于 Archard 模型的土壤耕作过程中犁刃摩擦磨损模拟与实验研究
犁刀广泛用于小型农田的旋耕和开沟等整地作业。本文采用有限元法建立了犁刀切割土壤的动态模拟模型。利用模拟和实验数据,该研究反向确定了磨损公式的常数 K = 1.71 × 10-5,并建立了适用于预测土壤切割过程中犁刃磨损的 Archard 磨损数学模型。随后,还开发了一个 Python 脚本,用于提取犁刀切割过程中的数据。然后采用 UMESHMOTION 子程序,结合 ALE 网格重网格法,模拟犁刀刀尖的磨损形态。结果表明,最大磨损发生在后刀面与犁刀尖的交界处,相应的最大磨损量分别为 1.887 毫米、2.750 毫米、3.766 毫米和 4.359 毫米。与微耕机工作时的实际磨损情况比较表明,在刀片的同一磨损阶段,所提出的磨损数值分析方法有效地模拟了犁刀切土过程中的磨损量。此外,对不同运行参数下的磨损量进行的比较表明,前进速度的增加导致磨损量分别增加 26.62 % 和 35.23 %,而旋转速度的增加导致磨损量分别增加 17.77 % 和 43.88 %。这两个因素都会对犁刀磨损产生重大影响。
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来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
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